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An Investigation of Hyper Heuristic Frameworks

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Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 33))

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Abstract

This article presents an emerging methodology in research and optimization called hype heuristics. The new approach will increase the extent of generality within which the optimization systems operate. Compared to heuristics (Meta) technology that works in a particular class of problems, hyper heuristics leads to general systems that manage extensive variety of issue area. Hype heuristics make an intelligent choice of the correct heuristic algorithm in a given situation. The article analyzes the absolute most recent works distributed in different fields.

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References

  1. Cowling, P.I., Kendall, G., Soubeiga, E.: A hyperheuristic approach to scheduling a sales summit. In: Selected Papers of Proceedings of the Third International Conference on International Conference on the Practice and Theory of Automated Timetabling. LNCS, vol. 2079, pp. 176–190. Springer, Heidelberg (2001)

    Google Scholar 

  2. Burke, E.K., MacCarthy, B.L., Petrovic, S., Qu, R.: Knowledge discovery in a hyperheuristic for course timetabling using case based reasoning. In: Proceedings of the Fourth International Conference on the Practice and Theory of Automated Timetabling (PATAT 2002), Ghent, Belgium, August 2002

    Google Scholar 

  3. Petrovic, S., Qu, R.: Case-based reasoning as a heuristic selector in a hyper-heuristic for course timetabling. In: Proceedings of the Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES 2002), Crema, Italy, September 2002

    Google Scholar 

  4. Cross, S.E., Walker, E.: Dart: applying knowledge-based planning and scheduling to crisis action planning. In: Zweben, M., Fox, M.S. (eds.) Intelligent Scheduling. Morgan Kaufmann, San Mateo (1994)

    Google Scholar 

  5. Minton, S.: Learning Search Control Knowledge: An Explanation-Based Approach. Kluwer, Boston (1988)

    Book  Google Scholar 

  6. Gratch, J., Chein, S., de Jong, G.: Learning search control knowledge for deep space network scheduling. In: Proceedings of the Tenth International Conference on Machine Learning, pp. 135–142 (1993)

    Chapter  Google Scholar 

  7. Hart, E., Ross, P.M., Nelson, J.: Solving a real-world problem using an evolving heuristically driven schedule builder. Evol. Comput. 6(1), 61–80 (1998)

    Article  Google Scholar 

  8. Terashima-Marín, H., Ross, P.M., Valenzuela-Rendón, M.: Evolution of constraint satisfaction strategies in examination timetabling. In: Banzhaf, W., et al. (eds.) Proceedings of the GECCO 1999 Genetic and Evolutionary Computation Conference, pp. 635–642. Morgan Kaufmann, San Mateo (1999)

    Google Scholar 

  9. Montazeri, M., Baghshah, M.S., Enhesari, A.: Hyper-Heuristic Algorithm for Finding Efficient Features in Diagnose of Lung Cancer Disease. https://arxiv.org/pdf/1512.04652

  10. Han, L., Kendall, G.: An investigation of a tabu assisted hyper-heuristic genetic algorithm. In: IEEE 2003 Conference (2003)

    Google Scholar 

  11. Kendall, G., Mohamad, M.: Channel assignment in cellular communication using a great deluge hyper-heuristic. In: IEEE 2004 International Conference (2004)

    Google Scholar 

  12. Tsai, C.-W., Song, H.-J., Chiang, M.-C.: A hyper-heuristic clustering algorithm. In: IEEE International Conference on Systems, Man, and Cybernetics, COEX, Seoul, Korea (2012)

    Google Scholar 

  13. Kabirzadeh, S., Rahbari, D., Nickray, M.: A hyper heuristic algorithm for scheduling of fog networks. In: Proceeding of the 21st Conference of Fruct Association

    Google Scholar 

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Author information

Authors and Affiliations

  1. Sri Siddhartha Academy of Higher Education, Tumkur, India

    Rashmi Amardeep

  2. Visvesvaraya Technological University, PG Regional Center Mysore, Mysore, India

    K. ThippeSwamy

Authors
  1. Rashmi Amardeep
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  2. K. ThippeSwamy
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Corresponding author

Correspondence to Rashmi Amardeep .

Editor information

Editors and Affiliations

  1. Department of CSE, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

    S. Balaji

  2. Departamento de Engenharia Informática, Faculdade de Ciências e Tecnologia, University of Coimbra, Coimbra, Portugal

    Álvaro Rocha

  3. Department of Electrical Engineering, National Changhua University of Education, Changhua County, Taiwan

    Yi-Nan Chung

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Amardeep, R., ThippeSwamy, K. (2020). An Investigation of Hyper Heuristic Frameworks. In: Balaji, S., Rocha, Á., Chung, YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-030-28364-3_43

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  • DOI: https://doi.org/10.1007/978-3-030-28364-3_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28363-6

  • Online ISBN: 978-3-030-28364-3

  • eBook Packages: EngineeringEngineering (R0)

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